搜索引擎中数据对象研究

【作者】 唐志文；

【导师】 林亚平；

【作者基本信息】 湖南大学 ， 计算机应用技术， 2001， 硕士

【摘要】 本文主要研究搜索引擎的原理结构及其所处理数据资源对象的结构、特点与模型。论文对现有的数据模型与应用进行了分析、讨论，指出了它们在数据描述、应用等方面的局限性。在此基础之上，提出了一种新的互联网数据模型——树藤共生模型，该模型能够较好地的描述异质、异构的互联网数据资源，并且定义了对象的并、差、关系投影、粘帖、剪切、选择等操作，这些运算操作使得搜索引擎对互联网资源进行分析、整理、查询时具有更高的准确性和更大的灵活性。结合互联网资源的构建规则、链接分布规律和URL命名规则，论文提出了树藤共生数据模型的重建算法，实验结果验证了树藤共生模型的有效性与合理性，在此基础上初步讨论了树藤共生模型在浏览导航、网页分类和Reinforcement Learning算法中的应用。更多还原

【Abstract】 In this paper, the working mechanisms and structure of search engines are discussed, as well as the construction, features and models of Internet data that associated with the search engines. Several data models are introduced, and their limitations in data description and application are revealed. On the basis of the features and fabric of Internet data, a new Internet data model called Tree-Vine Symbiosis Model (TVM) is proposed. This model provides precise and flexible description of Internet hetarogeneous data. Several operations are defined including AND, SUBTRACT, RELATION, PASTE, CUT and SELECT, which make search engines analyze, process and query Internet resource more precisely and flexibly.l3ased on the organization rules of internet data, the distribution laws of hyperlinks and the name rules of URL, a algorithm of TVM rebuilding is established, and satisfactory experiment results are obtained by applying this algorithm. Furthermore, efforts are made by applying of TVM on browse navigation, Web page classification and Reinforcement Learning algorithm.更多还原